Analytics (South Africa) Technical Analysis
| 0P0000ZSMO | 9.97 0.01 0.10% |
Analytics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Analytics, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AnalyticsAnalytics |
Analytics technical fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Analytics Ci Balanced Technical Analysis
The output start index for this execution was fourty-two with a total number of output elements of nineteen. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Analytics Ci Balanced volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Analytics Ci Balanced Trend Analysis
Use this graph to draw trend lines for Analytics Ci Balanced. You can use it to identify possible trend reversals for Analytics as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Analytics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Analytics Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Analytics Ci Balanced applied against its price change over selected period. The best fit line has a slop of 0 , which means Analytics Ci Balanced will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.87, which is the sum of squared deviations for the predicted Analytics price change compared to its average price change.Analytics December 12, 2024 Technical Indicators
Most technical analysis of Analytics help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Analytics from various momentum indicators to cycle indicators. When you analyze Analytics charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1392 | |||
| Market Risk Adjusted Performance | 0.5063 | |||
| Mean Deviation | 0.2669 | |||
| Semi Deviation | 0.0962 | |||
| Downside Deviation | 0.3223 | |||
| Coefficient Of Variation | 481.8 | |||
| Standard Deviation | 0.3478 | |||
| Variance | 0.121 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | 0.0478 | |||
| Total Risk Alpha | 0.0071 | |||
| Sortino Ratio | (0.16) | |||
| Treynor Ratio | 0.4963 | |||
| Maximum Drawdown | 1.74 | |||
| Value At Risk | (0.40) | |||
| Potential Upside | 0.6135 | |||
| Downside Variance | 0.1039 | |||
| Semi Variance | 0.0092 | |||
| Expected Short fall | (0.33) | |||
| Skewness | 0.0849 | |||
| Kurtosis | 1.02 |
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